CN109840911B - 确定干净或脏污的拍摄图像的方法、系统和计算机可读存储介质 - Google Patents
确定干净或脏污的拍摄图像的方法、系统和计算机可读存储介质 Download PDFInfo
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- CN109840911B CN109840911B CN201811407473.8A CN201811407473A CN109840911B CN 109840911 B CN109840911 B CN 109840911B CN 201811407473 A CN201811407473 A CN 201811407473A CN 109840911 B CN109840911 B CN 109840911B
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/457—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by analysing connectivity, e.g. edge linking, connected component analysis or slices
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
- G06T2207/10021—Stereoscopic video; Stereoscopic image sequence
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20021—Dividing image into blocks, subimages or windows
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20076—Probabilistic image processing
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Quality & Reliability (AREA)
- Image Analysis (AREA)
- Studio Devices (AREA)
- Image Processing (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP17382793.2A EP3489892B1 (en) | 2017-11-24 | 2017-11-24 | Determining clean or dirty captured images |
| EP17382793.2 | 2017-11-24 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109840911A CN109840911A (zh) | 2019-06-04 |
| CN109840911B true CN109840911B (zh) | 2024-07-16 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811407473.8A Active CN109840911B (zh) | 2017-11-24 | 2018-11-23 | 确定干净或脏污的拍摄图像的方法、系统和计算机可读存储介质 |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US10922803B2 (enExample) |
| EP (1) | EP3489892B1 (enExample) |
| JP (1) | JP7164417B2 (enExample) |
| CN (1) | CN109840911B (enExample) |
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| CN110572636B (zh) * | 2019-07-23 | 2020-08-04 | RealMe重庆移动通信有限公司 | 摄像头脏污检测方法、装置、存储介质及电子设备 |
| CN112824926B (zh) * | 2019-11-20 | 2024-06-28 | 上海为彪汽配制造有限公司 | 一种无人机雷达清洁方法 |
| US11328428B2 (en) | 2019-12-18 | 2022-05-10 | Clarion Co., Ltd. | Technologies for detection of occlusions on a camera |
| US11113580B2 (en) | 2019-12-30 | 2021-09-07 | Industrial Technology Research Institute | Image classification system and method |
| CN111724349B (zh) * | 2020-05-29 | 2022-09-20 | 同济大学 | 一种基于hsv和svm的图像脏污识别方法 |
| DE102020209198A1 (de) * | 2020-07-22 | 2022-01-27 | Robert Bosch Gesellschaft mit beschränkter Haftung | Verfahren zur Bestimmung einer Abbildungs-Degradation eines bildgebenden Sensors |
| CN111787315A (zh) * | 2020-08-05 | 2020-10-16 | 昆山软龙格自动化技术有限公司 | 一种基于fpga的嵌入式高速运算网卡装置 |
| US11341682B2 (en) | 2020-08-13 | 2022-05-24 | Argo AI, LLC | Testing and validation of a camera under electromagnetic interference |
| US11368672B2 (en) | 2020-09-14 | 2022-06-21 | Argo AI, LLC | Validation of a camera cleaning system |
| CN112261403B (zh) * | 2020-09-22 | 2022-06-28 | 深圳市豪恩汽车电子装备股份有限公司 | 车载摄像头的脏污物检测装置及方法 |
| CN111970506B (zh) * | 2020-10-20 | 2020-12-29 | 常州市瑞泰光电有限公司 | 镜头脏污检测方法、装置和设备 |
| DE102020215859A1 (de) * | 2020-12-15 | 2022-06-15 | Conti Temic Microelectronic Gmbh | Korrektur von Bildern einer Kamera bei Regen, Lichteinfall und Verschmutzung |
| CN112455396B (zh) * | 2020-12-18 | 2022-05-27 | 青海慧洗智能科技有限公司 | 面向自动洗车的车轮定位系统、方法和装置 |
| CN113600525B (zh) * | 2021-07-29 | 2022-09-16 | 河北白沙烟草有限责任公司保定卷烟厂 | 一种基于智能识别技术的铜排链在线清洁装置 |
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| WO2023079593A1 (ja) * | 2021-11-02 | 2023-05-11 | 三菱電機ビルソリューションズ株式会社 | 汚れ判定装置、汚れ判定方法、および汚れ判定プログラム |
| CN115082473B (zh) * | 2022-08-22 | 2023-06-20 | 小米汽车科技有限公司 | 脏污检测方法、装置及电子设备 |
| US12470835B2 (en) * | 2023-02-06 | 2025-11-11 | Motorola Solutions, Inc. | Method and apparatus for analyzing a dirty camera lens to determine if the dirty camera lens causes a failure to detect various events |
| CN119488240A (zh) * | 2023-08-17 | 2025-02-21 | 感进机器人(深圳)有限公司 | 清洁设备的控制方法和清洁设备 |
| CN118657765B (zh) * | 2024-08-19 | 2025-03-11 | 珠海格力电器股份有限公司 | 烹饪设备的污渍检测方法、装置和烹饪设备 |
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| DE10322087A1 (de) * | 2003-05-15 | 2004-12-02 | Daimlerchrysler Ag | Verfahren zur Erkennung und Lokalisierung von Verschmutzungen auf der Optik eines Kamerasystems |
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2017
- 2017-11-24 EP EP17382793.2A patent/EP3489892B1/en active Active
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2018
- 2018-11-21 US US16/198,499 patent/US10922803B2/en active Active
- 2018-11-22 JP JP2018219101A patent/JP7164417B2/ja active Active
- 2018-11-23 CN CN201811407473.8A patent/CN109840911B/zh active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10322087A1 (de) * | 2003-05-15 | 2004-12-02 | Daimlerchrysler Ag | Verfahren zur Erkennung und Lokalisierung von Verschmutzungen auf der Optik eines Kamerasystems |
Also Published As
| Publication number | Publication date |
|---|---|
| US10922803B2 (en) | 2021-02-16 |
| CN109840911A (zh) | 2019-06-04 |
| US20190164271A1 (en) | 2019-05-30 |
| EP3489892A1 (en) | 2019-05-29 |
| EP3489892B1 (en) | 2022-01-05 |
| JP2019096320A (ja) | 2019-06-20 |
| JP7164417B2 (ja) | 2022-11-01 |
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